scholarly journals PERFORMANCE EVALUATION AND VARIABILITY ANALYSIS FOR MAJOR GROWTH AND FLOWERING TRAITS OF Lilium longiflorum THUNB. GENOTYPES

2021 ◽  
Vol 9 (4) ◽  
pp. 439-444
Author(s):  
Rameshwar Rai ◽  
◽  
Jong Hwa Kim ◽  
◽  
◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Heritability Estimate ◽  
Lilium Longiflorum ◽  
Breeding Scheme ◽  
Flower Diameter ◽  
Additive Gene ◽  
The Mean ◽  
Almost All

The performance evaluation and variability estimation are some of the most important basic steps in any breeding scheme and are usually taken as a pre-breeding task. This experiment was carried out to evaluate the performance and estimate the variability for major growth and flowering traits of Sixteen Lilium longiflorum Thunb genotypes in a randomized complete block design (RCBD) with three replications. The estimated analysis of variance (ANOVA) demonstrated prevailing significant variability for studied ten growth and flowering traits of all 16 genotypes. The experiment was conducted to quantify the genetic variability, heritability, and genetic advance as a percentage of the mean (GAM), for understanding the breeding potentiality of L. longiflorum genotypes based on their performance for growth and flowering traits, so that pre-breeding scheme could be executed properly. The estimated genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) value, along with heritability estimate and GAM, revealed that almost all studied traits besides flower diameter were controlled by additive gene action. For these traits, improvement would be possible through the selection after cross-breeding among these genotypes. The choice of genotypes for the hybridization scheme could be made based on the mean performance of those genotypes for the particular traits of the breeding scheme.

scholarly journals Line×tester analysis in lilium×formolongi: identification of superior parents for growth and flowering traits

2019 ◽  
Vol 17 (1) ◽  
pp. 175-187
Author(s):  
R Rai ◽  
J Shrestha ◽  
JH Kim
Keyword(s):  
Plant Height ◽  
Gene Action ◽  
Block Design ◽  
Leaf Length ◽  
Stem Diameter ◽  
Leaf Width ◽  
Days To Flowering ◽  
Flower Diameter ◽  
Number Of Leaves ◽  
Almost All

An experiment was carried out using eight double cross F1s (DCF1s) as lines and two testers to obtain sixteen Line ×Tester hybrids for the evaluation of major growth and flowering traits thereby to understand the breeding potentiality of the parental lines. The performance of growth and flowering traits of all twenty-six genotypes were evaluated in a randomized complete block design (RCBD) with three replications. The analysis of variance (ANOVA) showed all the genotypes were significantly different for all agro-morphological traits under study. The estimated general combining ability (GCA) effects showed that parent 5(P5), were superior for plant height, stem diameter, number of leaves, leaf length, days to flowering and attitude of floral axis followed by parent 2(P2) for leaf length, leaf width, days to flowering and attitude of floral axis and parent7 (P7) for number of flower, flower diameter, bud length and attitude for floral axis. Likewise; tester 1 found to be best combiner with significant GCA effect for almost all growth and flowering traits (except number of leaves). The plant height, leaf width, number of flower and attitude of floral axis showed prevailing additive gene action while stem diameter, number of leaves, leaf length, days to flowering, flower diameter and bud length indicated predominance of dominance gene action. We can conclude that parent P5, parent P2 and parent P7 can be used as good mother lines and the tester 1, as good donor for the seed production. SAARC J. Agri., 17(1): 175-187 (2019)

scholarly journals Study of Combining Ability and Nature of Gene Action for Yield and Yield Related Traits in Maize (Zea mays L.)

2019 ◽  
pp. 1-8
Author(s):  
Birender Singh ◽  
Abhinav Abhishek ◽  
R. B. P. Nirala ◽  
S. S. Mandal ◽  
Tushar Ranjan
Keyword(s):  
Grain Yield ◽  
Zea Mays L ◽  
Gene Action ◽  
Block Design ◽  
Diallel Mating Design ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
Ear Height ◽  
The Mean ◽  
Half Diallel

The present investigation was carried out using thirty eight genotypes (eight parents, twenty eight F1's and two checks) using Griffing's half diallel mating design. The experiment was laid out in a randomized complete block design with three replications during kharif 2017 at the research farm of Bihar Agriculture College, Sabour. Observations were recorded for six pre-harvest characters viz days to 50% anthesis, days to 50% silking, anthesis silking interval, days to 75% brown husk, plant height, ear height and seven post-harvest characters viz cob length, cob diameter, number of kernel rows per cob, number of kernels per row, 1000 seed weight, shelling percentage and grain yield at 15% moisture. The mean sum of square of treatments was found to be significant for days to 75% brown husk and shelling per cent and highly significant for all other characters. The mean sum of square for GCA was found to be significant for cob length, no. of kernel row per cob, no. of kernels per row and highly significant for remaining all the characters except days to 75% brown husk and shelling%. The mean sum of square for SCA was significant for days to 75% brown husk and highly significant for all the remaining characters. On the basis of GCA effect for grain yield at 15% moisture, the parents BML-7, VQL-1 and SML-1 were found to be good general combiners. The ratio of GCA variance to SCA variance was found to be less than 1 for all the traits which indicated the preponderance of non-additive gene action. On the basis of SCA effects better performing crosses for grain yield at 15% moisture were DTPYC-9 × LM-13, CLQRCY-44 × VQL-1, CML-161 × SML-1 and CML-161× BML-7.

Induced Genetic Variability through Physical and Chemical Mutagens in M2 Generation of Greengram

2020 ◽  
Author(s):  
Akashi , , , , , Sarma ◽  
V. J. Dhole ◽  
A. Bhattacharjee ◽  
P. Das ◽  
D. Sarma ◽  
...  
Keyword(s):  
Seed Yield ◽  
Gene Action ◽  
Block Design ◽  
Positive Correlation ◽  
Randomized Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Almost All ◽  
Physical And Chemical ◽  
Pod Length

Uniform and healthy seeds of green gram cv. Pratap (SG-1) were treated with two mutagens, gamma rays (physical mutagen) and EMS (chemical mutagen) alone and in combination. The two hundred forty M1 progenies were laid in randomized block design with three replications during Kharif, 2017 to raise M2 generation. Analysis of variance discloses significant differences among the treatments for all the eight characters studied. It was observed that in general, the combination dose, i.e., 200 Gy+0.2% EMS gave superior results in almost all the yield attributing characteristics. High heritability coupled with high genetic advance was recorded for seed yield per plant, which indicates the predominance of additive gene action. Number of pods per plant followed by pod length showed high significant positive correlation with seed yield per plant. The character number of pods per cluster had shown positive correlation with seed yield per plant, but path analysis revealed its negative direct effect on seed yield.

scholarly journals Genetic variability analysis for various yield attributing traits in rice genotypes

2017 ◽  
Vol 15 (1) ◽  
pp. 15-19
Author(s):  
MM Rashid ◽  
M Nuruzzaman ◽  
L Hassan ◽  
SN Begum
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Direct Selection ◽  
Genetic Advance ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Selection For

An experiment was conducted using a randomized complete block design to estimate genetic variability of ten rice genotypes. Analysis of variance for yield and yield contributing traits showed significant (p<0.01) variation among the genotypes. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the traits were influenced by environment. The magnitude of difference between phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was less for the traits indicating little influence of environment. The higher estimates of PCV and GCV were observed for number of filled grains panicle–1 (27.53; 26.84), number of unfilled grains panicle–1 (26.76;25.28) and plant height (23.14; 23.00) indicates possibility of genetic improvement through direct selection for these traits, while days to 50% flowering, days to maturity, panicle length, number of effective tillers plant–1, fertility (%), 1000 Seed weight and yield panicle–1 showed low PCV and GCV values indicating the need for creation of variability by hybridization or mutation followed by selection. High heritability values (>60%) along with high genetic advance and genetic advance as percentage of mean were found for all the traits indicating prevalence of additive gene action, which provides good scope for further improvement by selection.J. Bangladesh Agril. Univ. 15(1): 15-19, January 2017

scholarly journals Genetic parameters and diversity studies of yield and yield contributing characters in Brassica genotypes

2019 ◽  
Vol 17 (3) ◽  
pp. 295-300
Author(s):  
Taslima Aktar ◽  
Md Nuruzzaman ◽  
Md Shoheh Rana ◽  
Md Monjurul Huda ◽  
Md Amir Hossain ◽  
...  
Keyword(s):  
Block Design ◽  
Mean Value ◽  
Genetic Advance ◽  
Early Maturity ◽  
Breeding Programs ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
The Mean ◽  
Diversity Studies

The potential of a crop to favorably respond to breeding programs depends on its existing nature and magnitude of genetic variability, heritability and genetic advance. An experiment was conducted with eighteen Brassica genotypes following Randomized complete block design (RCBD) with three replications at the field of the department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh to estimate genetic divergence, variability ranges and contribution of each trait towards genetic diversity. Analysis of variance showed significant variation among the genotypes for all the studied yield and yield contributing characters. The phenotypic co-efficient of variation (PCV) was higher than the genotypic co-efficient of variation (GCV) for all the characters measured, indicated that the traits were influenced by environment. All traits showed high heritability (61.54% to 98.64%) which indicated possible improvement through selection. High heritability values (>60%) along with high genetic advance and genetic advance in percentage of mean indicated prevalence of additive gene action, which provides good scope for further improvement by selection. The genotypes were grouped into four clusters, most of the genotypes were grouped into Custer I (8 genotypes), while cluster IV contained only one genotype. Considering the mean value, the cluster IV and Cluster II were ranked as the top groups in terms of yield and early maturity. High Heritability with high genetic advance in percentage of mean was observed for number of branches/plant, number of pod/plant, number of seeds/pod and yield/plant and selection focused   on these traits could be useful for future breeding program of Brassica. The genotype BD-7114 was the best performer considering all the studied traits especially yield and days to maturity which could be used as an important breeding material for the improvement of Brassica. J Bangladesh Agril Univ 17(3): 295–300, 2019

scholarly journals VARIABILITY AND HERITABILITY ESTIMATE OF 30 RICE LANDRACES OF LAMJUNG AND TANAHUN DISTRICTS, NEPAL

2020 ◽  
Vol 21 (1) ◽  
pp. 1 ◽  
Author(s):  
Anup Dhakal ◽  
Shishir Sharma ◽  
Amrit Pokhrel ◽  
Ankur Poudel
Keyword(s):  
Coefficient Of Variation ◽  
Phenotypic Expression ◽  
Heritability Estimate ◽  
Diversity Indices ◽  
Direct Selection ◽  
Genetic Advance ◽  
Qualitative Traits ◽  
Rice Landraces ◽  
Additive Gene ◽  
Rice Improvement

The variability in the rice landraces is the source of variation and offers substantial opportunity for the development of new varieties through the selection. Exploring diversity and variability of landraces is utmost for rice improvement. The objective of the study was to assess diversity indices, magnitude of genetic variability, heritability, genetic advance for the yield, and yield contributing traits. An experiment was carried out in alpha-lattice with 30 landraces, two replications in the Agronomy farm of IAAS, Lamjung Campus, during June-November, 2018. Shannon and Simpson's indices were calculated for 18 qualitative traits. The value of the Shannon and Simpson index ranged 0.15-1.41 and 0.07- 0.75, respectively. Landraces showed significant variations (p<0.001) for all 13 qualitative traits studied. The higher value of the phenotypic coefficient of variation (PCV) compared to the corresponding genotypic coefficient of variation (GCV) for all the studied traits indicated the influence of the environment. The filled-grain per panicle exhibited a high estimate of PCV and GCV, followed by the effective tiller and filled grain percentage. High heritability, along with high genetic advance was found in 10 traits, including 1000 grain weight, grain length, and filled grain per panicle indicated the presence of additive gene action. Direct selection of characters of these traits based on phenotypic expression by a selection method will be more reliable for yield improvement. The study suggests that the existence of diversity and estimated genetic parameters among landraces of rice that can be exploited in future rice breeding programs.

scholarly journals Plot size and number of replications in Sudan grass

2020 ◽  
Vol 41 (3) ◽  
pp. 783
Author(s):  
Alberto Cargnelutti Filho ◽  
Cirineu Tolfo Bandeira ◽  
Gabriela Görgen Chaves ◽  
Jéssica Andiara Kleinpaul ◽  
Rafael Vieira Pezzini ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Iterative Process ◽  
Block Design ◽  
Mean Value ◽  
Fresh Weight ◽  
Sudan Grass ◽  
Plot Size ◽  
Maximum Curvature ◽  
The Mean ◽  
Uniformity Trials

The aim of this study was to determine the optimal plot size and the number of replications to evaluate fresh weight in Sudan grass [Sorghum sudanense (Piper) Stapf.]. Twenty-six uniformity trials were carried out in two cultivars (BRS Estribo and CG Farrapo), in four sowing seasons (20 Dec, 20 Jan, 7 Feb and 24 Feb) and two methods for evaluating fresh weight (cutting and at flowering). The fresh weight was evaluated in 936 basic experimental units (BEU) (26 trials × 36 BEU per trial). One BEU comprised three rows of plants, 1 m in length (1.2 m2). The optimal plot size was determined using the maximum curvature method of the model of the coefficient of variation. For experiments in a completely randomised or randomised block design, in combinations of number of treatments and levels of experimental precision, the number of replications was determined by an iterative process. The optimal plot size to evaluate fresh weight in Sudan grass is 7.95 m2. Eight replications, to evaluate up to 50 treatments in a completely randomised or randomised block design, are sufficient to identify as significant at 0.05% probability by Tukey’s test, differences between the mean value of each treatment of 30.2% of the mean value of the experiment.

scholarly journals Plot size and number of replicates in times of sowing and cuts of millet

2016 ◽  
Vol 20 (2) ◽  
pp. 119-127 ◽  
Author(s):  
Cláudia Burin ◽  
Alberto Cargnelutti Filho ◽  
Bruna M. Alves ◽  
Marcos Toebe ◽  
Jéssica A. Kleinpaul
Keyword(s):  
Coefficient Of Variation ◽  
Iterative Process ◽  
Block Design ◽  
Probability Level ◽  
Fresh Matter ◽  
Tukey Test ◽  
Plot Size ◽  
Randomized Block Design ◽  
The Mean ◽  
Uniformity Trials

ABSTRACT The objective of this study was to determine the optimum plot size (Xo) and number of replicates to evaluate millet shoot fresh matter in times of sowing and cuts. Uniformity trials of 6 × 4 m (24 m2) were carried out in three sowing times, in the agricultural year of 2013-2014. Each uniformity trial was divided into 24 basic experimental units (BEU) of 1 × 1 m (1 m2) and the shoot fresh matter of plants in each BEU was weighed. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of replicates for experiments in completely randomized and randomized block design, in scenarios of combinations of i treatments (i = 3, 4, ..., 50) and d minimal differences between treatment means, to be detected as significant at 0.05 probability level by Tukey test, expressed in percentage of the experiment mean (d = 10, 12, ..., 30%), was determined by iterative process until convergence. The optimum plot size to evaluate millet shoot fresh matter is 4.97 m2, for the three times of sowing and cuts. For the evaluation of up to 50 treatments, in completely randomized and randomized block design, five replicates are sufficient to identify as significant, at 0.05 probability level by Tukey test, differences between treatment means of 28.66% of the mean of the experiment.

scholarly journals Assessment of genetic variability among different genotypes of Cape gooseberry (Physalis peruviana L.) in India

2017 ◽  
Vol 9 (3) ◽  
pp. 1735-1739
Author(s):  
Vikash Kumar ◽  
Sanjay Sahay ◽  
Vishal Nirgude ◽  
Amrita Kumari ◽  
Ravi S. Singh ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Crop Improvement ◽  
Fruit Weight ◽  
Branch Number ◽  
Gene Effects ◽  
Additive Gene ◽  
Cape Gooseberry ◽  
Fruit Diameter

The field experiment was carried out at the research farm of Horticulture Garden, Bihar Agricultural College, Sabour, Bhagalpur during 2014-15 for assessment of genetic variability among different genotypes of cape gooseberry in India. The experiment was laid out in Randomized Block Design with three replications having twelve genotypes. Analysis of variance revealed significant differences among genotypes for all the traits studies which suggesting sufficient variability for yield and quality parameters. The overall values of phenotypic coefficient of variation (PCV) were higher than those of genetic coefficient of variation (GCV). Higher magnitude of GCV and PCV were recorded for fruit per plant percent (33.30 and 36.61) followed by fruit diameter, fruit weight and flowers per branch. The maximum GCV (33.30) and PCV (36.61) were recorded in fruits/plant respectively. The high values of GCV are the indication of excess variability among the genotypes and thus the scope for crop improvement depends on the selection of superior parents for crossing to get better parents for hybridization. In present study, the magnitude of heritability ranged from 37% to 98% indicating that these traits are controlled by additive gene action which is very useful in selection. The traits like plant girth, plant height, inter nodal length, appearance of 50% of flowering, bud break to full bloom, number of flowers per branch, number of fruits set per branch, duration of fruit set to maturity, fruit weight, fruit diameter and number of fruits per plant with high GCV, PCV, heritability and genetic advance as percentage of mean, indicating that these characters are under additive gene effects and more reliable for effective selection.

scholarly journals Estimation of genetic parameters in some exotic genotypes of rice (Oryza sativa L.) in rabi season

2018 ◽  
Vol 8 (03) ◽  
Author(s):  
B. L. Thaware ◽  
S. S. Karande ◽  
B. D. Waghmode ◽  
J. S. Dhekale
Keyword(s):  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Research Station ◽  
Gene Effects ◽  
Randomized Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Genetic Coefficient Of Variation ◽  
Genetic Coefficient

Fifty three genotypes collected from IRRI, Philipines and one variety from research station were grown in randomized block design with three replications under three environments during rabi (dry) season 2013-14. Significant mean squares for genotypes indicated the presence of variability for all the characters under study. The phenotypic coefficient of variation (PCV) was higher than the genetic coefficient of variation (GCV) for all the characters studied. Small differences between GCV and PCV were recorded for most of the characters studied which indicated less influence of environment. The high heritability coupled with high genetic advance as percent of mean was observed for the characters viz., grains per panicle, straw yield per plant, grain yield per plant and 1000 grain weight indicate that most likely the heritability is due to additive gene effects and selection may be effective.

Sign in / Sign up

Export Citation Format

Share Document